Architect - Machine Learning

Quantiphi; Mumbai; On-site; INR 1,800,000 - 2,500,000; Full time

Job summary

Quantiphi is looking for a Technical Architect - Machine Learning in Mumbai. The role involves developing architectures and working with teams on healthcare-based projects across multiple geographies, helping organizations optimize business outcomes using data technologies.

The ideal candidate will have over 8 years of hands-on experience in model development and deployment, particularly in ML and AI. You will mentor teams, communicate insights to clients, and build relationships based on understanding their needs.

Qualifications

• 8+ years of experience in model development and deployment.
• Strong theoretical understanding of Machine Learning and Deep Learning.
• Experience in the healthcare domain is preferred.

Responsibilities

• Develop high-level solution architectures with big-data engineers.
• Communicate insights that impact business outcomes.
• Mentor senior resources and team leads.

Skills

Model development in Computer Vision

Natural Language Processing (NLP)

Deep Learning frameworks

Statistical modelling

Predictive analysis

Job description

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Role: Technical Architect - Machine Learning

Experience Level: 8 Years or Above

Work location: Mumbai, Bangalore & Trivandrum

You will be working as an Architect Machine Learning within the healthcare domain, working on and delivering projects that are running across multiple geographies, helping healthcare organizations achieve their business goals with use of data ingestion technologies, cloud services & DevOps. You will be working with teams from other specialties such as Cloud engineering, Software engineering, Data engineering to create platforms, solutions and applications that cater to latest trends in the healthcare industry such as digital diagnosis, software as a medical product, AI marketplace, amongst others.

Role & Responsibilities

• Developing high-level solution architectures and working with our offshore team of big-data engineers and decision science analysts to build, test and assess models that predict and optimize business outcomes based on client’s success criteria.
• Develop sophisticated yet simple interpretations and communicate insights to clients that lead to quantifiable business impact.
• Building deep relationships with clients by understanding their stated but more importantly, latent needs.
• Working closely with the offshore delivery managers to ensure a seamless communication and delivery cadence. Researching and identifying sales opportunity, generating leads, target identification and classification.
• Serve as a mentor or guide for senior resources / team leads.
• Lead the technical discussion regarding architecture designing and troubleshooting with the clients and provide solutions proactively as required. Fluent in communication.

Must Have Skills

• 8+ years’ experience of Hands-on in model development, deployment and operationalization of projects in Computer Vision, NLP, etc.
• Strong theoretical understanding of Machine Learning concepts, as well DeepLearning base architectures, cloud-based web services architecture, design patterns and frameworks.
• Comfortable with exploring new research and engineering/development best practices types.
• Hands on experience working on and handling projects in the healthcare domain would be a desired skill.
• Experience in implementing Deep Learning solutions pertaining to, but not restricted to, Reinforcement Learning, Natural Language Processing, Auto ML.
• Exposure to latest cutting-edge research. Ability to implement a research paper, as well as augment the current solution and communicate it to clients and team.
• Great analytical skills, with expertise in analytical toolkit such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis.

Equal Employment Opportunity: We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender identity, sexual orientation, age, disability, or other protected characteristic.